Epidemiology of diabetes mellitus in Pakistan : a systematic review protocol
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..
INTRODUCTION: Diabetes mellitus (DM) is a chronic metabolic disorder characterised by hyperglycaemia resulting from defects in insulin secretion, insulin action or both. As a major global health concern, its prevalence has been steadily increasing. Pakistan, is no exception to this trend, facing a growing burden of non-communicable diseases including DM. This research aims to comprehensively assess the prevalence of DM, and disparities between rural and urban populations as well as between men and women in Pakistan.
METHODS AND ANALYSIS: The systematic review will follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and will aim to assess DM prevalence in Pakistan. A comprehensive search strategy will be applied to databases like PubMed, Scopus, Cochrane, PakMediNet and CINAHL from inception up to 1st April 2024. We will include studies that focus on diabetes prevalence in the general population, employing WHO or American Diabetes Association criteria for diagnosis of DM. Cross-sectional studies, cohort studies and population-based surveys with a sample size ≥500, in English will be considered. Data extraction will be done as per a predefined proforma which will include study details such as demographics, prevalence data and methodology. A meta-analysis will be performed using a random effect model with an inverse variance weighted method. I2 statistics will be used to examine heterogeneity, and subgroup analyses will be performed.
ETHICS AND DISSEMINATION: The findings from the systematic review will be shared by publishing them in a peer-reviewed journal and showcasing them at pertinent conferences. Our analysis will be based on aggregated data and will not involve individual patient information, thus eliminating the need for ethical clearance.
PROSPERO REGISTRATION NUMBER: CRD42023453085.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
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| Enthalten in: |
BMJ open - 14(2024), 3 vom: 12. März, Seite e079513 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hasan, Syed Umar [VerfasserIn] |
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| Anmerkungen: |
Date Completed 15.03.2024 Date Revised 15.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1136/bmjopen-2023-079513 |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. | ||
| 520 | |a INTRODUCTION: Diabetes mellitus (DM) is a chronic metabolic disorder characterised by hyperglycaemia resulting from defects in insulin secretion, insulin action or both. As a major global health concern, its prevalence has been steadily increasing. Pakistan, is no exception to this trend, facing a growing burden of non-communicable diseases including DM. This research aims to comprehensively assess the prevalence of DM, and disparities between rural and urban populations as well as between men and women in Pakistan | ||
| 520 | |a METHODS AND ANALYSIS: The systematic review will follow Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and will aim to assess DM prevalence in Pakistan. A comprehensive search strategy will be applied to databases like PubMed, Scopus, Cochrane, PakMediNet and CINAHL from inception up to 1st April 2024. We will include studies that focus on diabetes prevalence in the general population, employing WHO or American Diabetes Association criteria for diagnosis of DM. Cross-sectional studies, cohort studies and population-based surveys with a sample size ≥500, in English will be considered. Data extraction will be done as per a predefined proforma which will include study details such as demographics, prevalence data and methodology. A meta-analysis will be performed using a random effect model with an inverse variance weighted method. I2 statistics will be used to examine heterogeneity, and subgroup analyses will be performed | ||
| 520 | |a ETHICS AND DISSEMINATION: The findings from the systematic review will be shared by publishing them in a peer-reviewed journal and showcasing them at pertinent conferences. Our analysis will be based on aggregated data and will not involve individual patient information, thus eliminating the need for ethical clearance | ||
| 520 | |a PROSPERO REGISTRATION NUMBER: CRD42023453085 | ||
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